Gene networks characterize the interactions of bio-molecules such as the physical interactions, metabolite
flow, regulatory relationships, co-expression relationships, and more. Network analysis can be used to
identify related genes in the same biological processes or pathways etc. The Tetrahymena gene network (TGN)
was constructed using the context likelihood of relatedness (CLR) algorithm (mutual information method, an extension of the relevance networks)
based on microarray expression data, which means that the connected genes in the TGN have similar expression profile. The CLR network with a Z-score
threshold 3.49 was determined as the current TGN
(see reference).
The larger of a Z-score between two genes indicated the more reliable interaction (more similar expression profile).
TGN presents an important resource to study Tetrahymena genes at the pathway level.
Bellow is the list of genes which have similar expression profiles to your query gene in TGN: